TensorFlow 101: Introduction to Deep Learning
-
Updated
Jul 9, 2025 - Jupyter Notebook
TensorFlow 101: Introduction to Deep Learning
Identifying which celebrity is speaking through deep learning
Face recognition using Tensorflow
Model to recognize celebrities using a face matching algorithm.
Find your celebrity look alike
Testing commercial APIs against the threat of deepfakes.
Identify a potential celebrity base on a person picture
AI to detect celebrities from picture using amazom celebrities recognition api.
Face detection and recognition into 6 classes of some famous personalities.
Image Analytics powered by AWS Rekognition
Face recognition system for images & video using deep learning and OpenCV. Pre-trained on Bollywood & Hollywood celebrity datasets with real-time detection, face encoding & similarity matching.
The repository contains code to train, evaluate and infer FaceNet model trained on the Siamese Framework for face recognition over 16 classes of different celebrities.
Celebrity face recognition using MTCNN and Inception-ResNet, deployed as a Flask web app.
GIPHY's Open-Source Celebrity Detection Deep Learning Model
Vietnamese Celebrities Face Recognition Demo
Celebrity face recognition. Uses the pre-trained face-net model. There is also a flask app built the top of the core model package. Checkout the demo at: poor-mans-rekognition.herokuapp.com
Celebrity Detector and QA is a vision-powered app that detects celebrities in images using Groq’s Llama vision model, then enables natural-language Q&A about the detected person. Built with Flask + OpenCV + HTML/CSS, containerized with Docker, CI/CD via CircleCI, and deployed to GKE with images stored in GCP Artifact Registry.
👤 Recognize faces in images instantly with this Flask app leveraging deep learning for real-time face detection and recognition.
Add a description, image, and links to the celebrity-recognition topic page so that developers can more easily learn about it.
To associate your repository with the celebrity-recognition topic, visit your repo's landing page and select "manage topics."